AEO vs SEO: The Real Differences and How to Win Both

AEO vs SEO at a glance

The short version: SEO decides whether your page is shown. AEO decides whether an AI engine uses what is on the page, or what other sites say about you, when it writes the answer. Here is how the two compare on the dimensions that change how you work.

What is SEO?

SEO (search engine optimization) is the practice of making web pages rank higher in search engines such as Google and Bing, so more people find and click them. It covers three areas: technical SEO (making pages crawlable, indexable and fast), on-page SEO (matching content, titles and structure to what searchers want) and off-page SEO (earning links and reputation from other sites).

The unit of competition in SEO is the page, and the outcome is a position on a results page. Even with AI features layered on top, the core loop has not changed: Google crawls a page, indexes it, ranks it against other pages for a query, and the searcher decides whether to click.

What is AEO?

AEO (answer engine optimization) is the practice of getting your brand and your content mentioned, recommended and cited inside AI-generated answers. An answer engine is any system that responds to a question with a written answer instead of a list of links: ChatGPT, Perplexity, Gemini, Claude, Microsoft Copilot, and Google's own AI Overviews and AI Mode.

For example, if you sell accounting software for agencies, AEO is the work that makes your product appear when someone asks ChatGPT "what's the best accounting software for a small creative agency?", with accurate pricing and a link to your site. Our AEO glossary entry has the short definition.

AEO, GEO, LLMO, AI SEO: one practice, several names

You will see the same work called generative engine optimization (GEO), LLM optimization (LLMO), AI search optimization or AI SEO. We treat these as interchangeable, and so do most practitioners. Some vendors draw a line, using AEO for getting retrieved and cited in live answers and GEO for shaping what a model already knows from training data. That distinction is real (see model memory below), but the tactics overlap so much that splitting the discipline in two adds little. The fuller definition lives in our GEO entry.

How a page wins in SEO vs in AEO

The clearest way to see the difference is to put the two pipelines next to each other. The first three steps of AEO depend on SEO. The last three are where AEO becomes its own discipline.

1. Prompt. The user asks a full question, often with constraints ("for a team of 15", "under $50", "that integrates with HubSpot").
2. Fan-out. The engine splits the prompt into several searches, one per intent. This is query fan-out, and it is why a single prompt can draw on a dozen different pages.
3. Retrieve. Each sub-query is run against a search index: Google's for AI Overviews, AI Mode and Gemini, Bing and other providers for ChatGPT and Copilot, and each engine's own crawl. This is the step SEO controls. A page that is not indexed or ranks nowhere is never seen.
4. Score passages. Retrieved pages are split into passages and ranked for how well each one answers each sub-query. A page that ranks seventh can supply the best passage.
5. Write the answer. The model writes from the top passages and from what it already knows.
6. Cite or mention. Some sources get a visible citation and link. Others shape the wording without being cited. Brands can be mentioned with no link at all.

Where AEO and SEO overlap

Most of what makes a site good for SEO also makes it good for AEO. That is the most important practical point in this whole comparison, because it means you are not starting a second program from scratch.

• Crawlability and indexation. If a page is blocked, slow to render or not indexed, it can neither rank nor be retrieved.
• Authority. Engines of both kinds lean on domains that other trusted sites reference. Strong sites get retrieved more often, which gives their passages more chances to be used.
• Clear structure. Descriptive headings, short paragraphs, lists and tables help Google generate snippets and help answer engines extract passages.
• Original, experience-based content. First-hand data, tests and expert views are what both Google's helpful content systems and answer engines prefer over rewritten summaries.
• Freshness. Current prices, dates and examples help in both, and matter even more when an engine adds the current year to its sub-queries.
• Structured data. Schema markup clarifies entities and facts for search features and for AI systems that read the page.

Google itself says there is nothing extra you have to do to appear in AI Overviews or AI Mode beyond following its normal search guidance. That is true as far as it goes: the entry ticket is SEO. What it doesn't cover is everything that happens after retrieval, and the engines Google doesn't run.

8 ways AEO differs from SEO

1. Passages compete, not pages

In SEO, the whole page is ranked. In AEO, a single paragraph, table row or list item can be lifted and used, and the rest of the page doesn't matter for that sub-query. A section that buries its answer in the fourth sentence, or relies on "it" and "this" to refer back to earlier context, is hard to extract. Lead each section with a complete, standalone answer.

2. Mentions count, not just links

SEO rewards backlinks. Answer engines also read what other pages say about you in plain text. An unlinked line in a Reddit thread, a review on G2 or a mention in an industry roundup can shape whether, and how, a model describes your brand. That makes digital PR, reviews and community presence part of AEO in a way they were only indirectly part of SEO.

3. Prompts, not keywords

People type short keywords into Google and full questions into ChatGPT. A prompt carries constraints (team size, budget, location, integration) that a keyword never does. AEO research therefore starts from real buyer questions, gathered from sales calls, support tickets and community threads, and tracks those prompts directly. Keywords still name your pages; prompts decide what the pages must answer.

4. A probability, not a position

Run the same prompt ten times and you get different answers, different sources and sometimes different recommended brands. AI visibility is a rate: the share of runs in which you are mentioned or cited. That is why a screenshot of one answer proves very little, and why AEO tracking samples each prompt repeatedly over time. See our explainer on AI share of voice for how that rate is compared against competitors.

5. Influence without the click

In SEO, a ranking that earns no clicks is worth little. In AEO, a buyer can read an answer that recommends you, never click, and then search your brand name or type your URL a week later. Some of that value shows up as branded search or direct traffic, not as an AI referral. The click data is still worth having: independent studies of AI referrals generally find them small in volume and, for considered purchases, converting at or above organic search.

The Seer figure is the one to remember for this comparison: being cited inside the AI Overview recovers part of the click loss that the AI Overview causes. AEO is partly a defence of SEO traffic. Sources and grading are in our AI search statistics reference.

6. Many engines and indexes, not one

SEO is mostly Google, plus Bing. AEO covers at least five major assistants, each with its own retrieval stack and crawler. ChatGPT and Copilot draw heavily on Bing-based and other providers' results; Perplexity runs its own crawl; Claude uses a web search provider. A site that ranks well on Google but blocks OAI-SearchBot or PerplexityBot, or that Bing barely indexes, can be invisible in those engines. Our free AI crawler checker shows which bots your robots.txt allows.

7. Third-party pages carry more weight

For "best X", "X vs Y" and "is X worth it" prompts, answer engines often retrieve review sites, listicles, forums and video transcripts rather than vendor pages. In SEO you can rank your own comparison page; in AEO you also need to be present, and described accurately, on the pages the engines actually cite. A citation source report tells you which domains those are for your prompts.

8. The model's memory is a second layer

SEO has one layer: the live index. Answer engines have two. Besides what they retrieve, models answer from what they learned in training, which is months old and built from the wider web. If your brand was barely discussed when the model was trained, it may describe your category without you, or with stale facts, even when no search is run. You influence this layer slowly, through consistent, widely repeated information about your brand across many sources. Retrieval is where most of the short-term gains are.

Does ranking on Google get you cited by AI?

Partly. Ranking well helps, because a page has to be retrieved before it can be cited, and strong domains are retrieved more often. But the relationship is loose, for three reasons:

• Engines retrieve from different indexes. Google's AI features lean on Google's index; ChatGPT and Copilot do not. Overlap between a Google top 10 and the sources an assistant cites varies a lot by engine.
• Sub-queries are not your keyword. The engine searches for the pieces of the prompt, so the page it cites may rank for a sub-query you never tracked.
• Passages beat pages. Within a trusted domain, engines often cite a deeper page, a doc or a help article rather than the URL that ranks for the head term.

The practical reading: treat SEO as necessary and AEO as the work that turns retrieval into citation. If you rank well and still don't get cited, the gap is usually extractability, missing facts on your pages, or your absence from the third-party pages engines prefer.

Which should you prioritize?

Almost every business needs both, but the weighting depends on how your buyers research and how established your site is.

One strategy for both: tactics ranked by impact

Rather than running two programs, run one search program and know which tactics pay off in which channel. The table rates each tactic for its typical effect on SEO and on AEO.

Create content only you can write

Both channels reward information that doesn't exist elsewhere. Publish your own numbers (usage data, survey results, benchmarks), document real tests, and name the people who did the work with short author bios. Original data also earns the backlinks and mentions that feed authority in both channels.

State the facts engines look for

Answer engines check attributes before they recommend something: price, plans, integrations, limits, setup time, security, support. If your site hides these behind "contact sales" or in images and PDFs, the engine takes them from someone else. Put them in plain HTML text, in tables where possible, with the date they were last checked.

Be consistent about who you are

Use the same brand name, product names and category description everywhere: your site, your Organization schema, LinkedIn, Crunchbase, G2, press boilerplate. Consistent entity signals help Google's Knowledge Graph and help language models connect your brand to the right category. If your homepage says "revenue intelligence", your G2 profile says "sales analytics" and your press release says "AI forecasting", engines may not realize these describe one product.

Work the pages engines actually cite

Pull the list of domains AI engines cite for your target prompts. Then work it like a link-building list, but aimed at presence and accuracy: get included in the roundups, keep review profiles complete, answer questions in the communities that show up, and correct wrong facts where you can. This is the single biggest AEO lever that a pure SEO program usually misses.

Refresh, don't just re-date

Update the substance: new prices, current screenshots, this year's data, removed references to tools that no longer exist. Changing the date without changing the content helps neither Google nor answer engines, and can mislead readers.

Before and after: one section rewritten for both

Here is a typical product-page section, and the same section rewritten so it ranks for the keyword and is easy for an answer engine to quote.

The "after" version still targets "Acme pricing" for SEO. It also answers the exact sub-query an engine generates ("Acme pricing per user") in a single sentence that makes sense out of context, which is what passage scoring rewards.

A combined technical checklist

• Robots.txt: allow Googlebot, Bingbot, OAI-SearchBot, PerplexityBot and Claude-SearchBot. Decide separately whether to allow training crawlers such as GPTBot and Google-Extended; blocking them does not remove you from live AI answers.
• CDN and firewall: check that bot protection is not silently blocking the AI search crawlers you allowed.
• Rendering: serve key content in the initial HTML. Several AI crawlers don't execute JavaScript.
• Bing coverage: verify your site in Bing Webmaster Tools and consider IndexNow, since several assistants draw on Bing-based results.
• Sitemaps: keep an accurate XML sitemap with real lastmod dates.
• Schema: Organization (with sameAs links to your profiles), Product and Offer, Article with author, FAQPage where you have genuine Q&A.
• Canonicals: one URL per piece of content, so authority isn't split.
• Speed: fast responses help crawl budget for every bot, not only Core Web Vitals.
• llms.txt: optional. Cheap to add, but not a ranking factor; see our llms.txt explainer.

How to measure AEO and SEO together

Reporting the two channels separately makes AEO look like a side project. Put them on one scorecard so the trade-offs are visible: a page losing clicks to an AI Overview while gaining citations in it is one story, not two.

For setup details, see our guides to the Search Console generative AI report, measuring AI search ROI and tracking brand visibility in ChatGPT. If you are choosing software, our best AEO tools roundup compares the options.

Who should own AEO, and what should it cost?

In most teams AEO should sit with whoever owns SEO, because the foundation is shared and splitting it creates two groups optimizing the same pages for different reports. What changes is the set of collaborators:

• Content rewrites key pages answer-first and adds missing facts.
• PR and communications own the mentions and third-party presence that AEO depends on more than SEO does.
• Product marketing keeps pricing, positioning and category language consistent across every surface.
• Engineering handles crawler access, rendering and schema.
• Analytics sets up the AI channel in GA4 and the combined scorecard.

On budget, most teams start AEO from the existing SEO budget: a tracking tool, a share of content hours for rewrites, and a share of PR effort pointed at the domains engines cite. Increase it once you can show movement in mention rate, citation rate and AI referrals. Dedicated AEO tracking ranges from free one-off checks to enterprise contracts; self-serve tools generally start well under $100 a month.

AEO vs SEO myths

• "AEO replaces SEO." No. Answer engines retrieve from search indexes, so SEO is the entry ticket. AEO is added on top.
• "SEO is enough." Also no. Ranking doesn't guarantee citation, Google isn't the index ChatGPT uses, and mentions on third-party sites aren't in a typical SEO plan.
• "AEO is just FAQ schema." Schema helps engines read facts, but it doesn't earn citations on its own. The visible content has to answer the question.
• "You can't measure AEO." You can, as a rate across repeated runs, plus AI referral traffic and AI feature impressions. It just isn't a single position.
• "Blocking GPTBot hides you from ChatGPT." GPTBot is OpenAI's training crawler. Live ChatGPT search uses OAI-SearchBot. Blocking one doesn't block the other.
• "AI traffic is too small to matter." The volume is small for most sites, but the influence is larger than the referrals show, and the visits it does send tend to convert well for considered purchases.

A 90-day plan to run AEO and SEO as one program

The bottom line

AEO vs SEO is not a choice. SEO makes your pages findable and trusted; AEO makes what is on them, and what others say about you, usable inside the answers buyers now read first. Keep the shared foundation strong, add the four things SEO doesn't cover (passage extractability, published facts, AI crawler access and third-party presence), and measure both channels on one scorecard.

To see where you stand today, run your brand through our free AI visibility checker. It takes a minute and needs no card.